US2018012266A1PendingUtilityA1

Computer implemented methods and systems for comprehensively identifying declined services from service write up records

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Assignee: JOSHI KUNALPriority: Mar 1, 2017Filed: Sep 25, 2017Published: Jan 11, 2018
Est. expiryMar 1, 2037(~10.6 yrs left)· nominal 20-yr term from priority
G16H 10/60G16H 50/20G16H 50/70G06Q 30/0276G06F 40/174G16H 70/20G06F 40/30G06F 40/284G06F 17/2785G06F 17/277G06F 19/322
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Claims

Abstract

Computer implemented methods and systems are disclosed for automatically identifying declined services from service records by extracting information from fields in the service record, analyzing the extracted information to identify issues found and issues addressed in the service record, comparing the issues found and issues addressed to identify issues found in the service record unrelated to the issues addressed, and inferring the issues found unrelated to the issues addressed to be declined services.

Claims

exact text as granted — not AI-modified
1 . A computer implemented method of automatically identifying declined services from service records, comprising the steps, performed by a computer system, of:
 (a) receiving a service record at the computer system;   (b) extracting information from fields in the service record;   (c) analyzing the information extracted in (b) to identify one or more issues found and one or more issues addressed;   (d) comparing the one or more issues found and one or more issues addressed identified in (c) to identify one or more issues found in the service record unrelated to the one or more issues addressed, and inferring the one or more issues found unrelated to the one or more issues addressed to be one or more declined services; and   (e) outputting information on the one or more declined services.   
     
     
         2 . The method of  claim 1 , wherein at least some of the fields are text fields. 
     
     
         3 . The method of  claim 2 , further comprising organizing the information extracted from the text fields in step (b) into a common system using natural language processing. 
     
     
         4 . The method of  claim 2 , further comprising organizing the information extracted from the text fields in step (b) into a common lexicon and taxonomy using natural language processing. 
     
     
         5 . The method of  claim 2 , further comprising using natural language processing to transform the information extracted from the text fields in step (b) into one or more object-descriptor pairs, wherein each object-descriptor pair comprises an object and a descriptor defined in a common taxonomy. 
     
     
         6 . The method of  claim 5 , wherein the service record comprises a product service record, and each object-descriptor pair comprises a product component and a descriptor associated with that product component defined in a common taxonomy. 
     
     
         7 . The method of  claim 5 , wherein the service record comprises a medical record, and each object-descriptor pair comprises a body part or body system and a descriptor associated with that body part or body system defined in a common taxonomy. 
     
     
         8 . The method of  claim 1 , wherein step (c) comprises identifying the one or more issues addressed using (i) a labor opcode and/or parts identified in the service record when the service record comprises a product service record or (ii) a procedure or therapeutic action identified in the service record when the service record comprises a medical record. 
     
     
         9 . The method of  claim 1 , wherein identifying the one or more issues found in step (c) comprises using natural language processing to analyze the extracted information to assign one or more pertinent codes from a stored list of a plurality of codes related to the extracted information, and determining services corresponding to the one or more pertinent codes from a database containing a mapping of a plurality of codes to services. 
     
     
         10 . The method of  claim 1 , further comprising sending a reminder or offer relating the one or more declined services to a user associated with the service record. 
     
     
         11 . The method of  claim 1 , wherein the service records comprise product service records or medical records. 
     
     
         12 . A computer system, comprising:
 at least one processor;   memory associated with the at least one processor;   computer input and output devices; and   a program supported in the memory for automatically identifying declined services from service records, the program containing a plurality of instructions which, when executed by the at least one processor, cause the at least one processor to:
 (a) receive a service record; 
 (b) extract information from fields in the service record; 
 (c) analyze the information extracted in (b) to identify one or more issues found and one or more issues addressed; 
 (d) compare the one or more issues found and one or more issues addressed identified in (c) to identify one or more issues found in the service record unrelated to the one or more issues addressed, and infer the one or more issues found unrelated to the one or more issues addressed to be one or more declined services; and 
 (e) output information on the one or more declined services. 
   
     
     
         13 . The computer system of  claim 12 , wherein at least some of the fields are text fields. 
     
     
         14 . The computer system of  claim 13 , wherein the program further comprises instructions for organizing the information extracted from the text fields in (b) into a common system using natural language processing. 
     
     
         15 . The computer system of  claim 13 , wherein the program further comprises instructions for organizing the information extracted from the text fields in step (b) into a common lexicon and taxonomy using natural language processing. 
     
     
         16 . The computer system of  claim 13 , wherein the program further comprises instructions using natural language processing to transform the information extracted from the text fields in (b) into one or more object-descriptor pairs, wherein each object-descriptor pair comprises an object and a descriptor defined in a common taxonomy. 
     
     
         17 . The computer system of  claim 16 , wherein the service record comprises a product service record, and each object-descriptor pair comprises a product component and a descriptor associated with that product component defined in a common taxonomy. 
     
     
         18 . The computer system of  claim 16 , wherein the service record comprises a medical record, and each object-descriptor pair comprises a body part or body system and a descriptor associated with that body part or body system defined in a common taxonomy. 
     
     
         19 . The computer system of  claim 12 , wherein the program comprises instructions for identifying the one or more issues addressed using (i) a labor opcode and/or parts identified in the service record when the service record comprises a product service record or (ii) a procedure or therapeutic action identified in the service record when the service record comprises a medical record. 
     
     
         20 . The computer system of  claim 12 , wherein identifying the one or more issues found in (c) comprises using natural language processing to analyze the extracted information to assign one or more pertinent codes from a stored list of a plurality of codes related to the extracted information, and determining services corresponding to the one or more pertinent codes from a database containing a mapping of a plurality of codes to services. 
     
     
         21 . The computer system of  claim 12 , wherein the program further comprises instructions for sending a reminder or offer relating the one or more declined services to a user associated with the service record. 
     
     
         22 . The computer system of  claim 12 , wherein the service records comprise product service records or medical records.

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